Information-theoretic feature selection for functional data classification.
Vanessa Gómez-VerdejoMichel VerleysenJérôme FleuryPublished in: Neurocomputing (2009)
Keyphrases
- information theoretic
- feature selection
- mutual information
- text classification
- information theoretic measures
- information theory
- feature space
- machine learning
- training samples
- theoretic framework
- data points
- classification accuracy
- feature set
- multi class
- image classification
- support vector
- pattern recognition
- high dimensional data
- missing data
- feature extraction
- irrelevant features
- minimum description length
- training data